The long term goal is to deliver the firms new strategy to tax solutions / automations. Ideal candidates would have a tax domain knowledge and tax tech experience, yet not a mandatory requisite for applicants.
Your responsibilities
Development and training of transformer-based models for both text and images
Architect and oversee the entire model lifecycle, from data preparation, model design, training, development and validation to model deployment and monitoring
Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts, to design and implement AI-driven solutions
Stay current with the latest advancements in AI and machine learning, integrating new techniques and technologies as appropriate
Our requirements
Senior with 5+ years of relevant experience
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field
Strong expertise with large scale Neural Networks, Deep Learning and Reinforcement Learning techniques
Practical exposure to GenAI projects and related frameworks (RAG apps, vector DBs, LangChain, LlamaIndex, agentic frameworks, ...)
Advanced knowledge of Python and machine learning frameworks (SciPy, Scikit-learn, TensorFlow, PyTorch, pyMC, pgmpy, ...)
Hands-on experience with one or more cloud computing platforms (Azure - preferred, AWS, GCP)
Understanding of the whole ML lifecycle and experience with MLOps/DataOps
Experience with Probabilistic Graphical Modelling (Bayesian Networks, Markov Random Fields, Factor Graphs, ...)
Strong problem-solving skills and attention to detail